Science Applications International (SAIC) EBIT (2012 - 2026)
Science Applications International (SAIC) recorded EBIT of $152 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), up 9.4% from $139 million a year earlier but down 15.1% from the prior quarter.
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Analysis
Science Applications International (SAIC) EBIT (2012 - 2026) Analysis & Trends
On a TTM basis, Science Applications International's EBIT came in at $592 million as of Jul 31, 2026, up 6.1% year-over-year; for FY2026 (ended Jan 30, 2026), it was $521 million, down 7.5% from FY2025.
- Annual EBIT has a five-year compound annual growth rate of 6.0% (FY2021 to FY2026).
- Across earlier fiscal years, EBIT came in at $563 million in FY2025 (-24.0%), $741 million in FY2024 (+47.9%), $501 million in FY2023 (+8.4%) and $462 million in FY2022 (+18.5%).
- Quarterly EBIT has ranged from $79 million in fiscal Q4 2024 to $362 million in fiscal Q2 2024 over the past five years.
- On a year-over-year basis, EBIT rose in five of the last eight quarters, with growth averaging 14.5%.
- Peak year-over-year performance for EBIT in the last five years was growth of 189.6% in fiscal Q2 2024, against a decline of 63.0% in fiscal Q2 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $179 million (Q1 2027), $133 million (Q4 2026) and $128 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 51.06 Bn | 16.35 Bn | 1.60 Bn | 1.08 Bn |
| 2 | Cognizant Technology Solutions | 29.12 Bn | 23.09 Bn | 1.91 Bn | 872.00 Mn |
| 3 | Cdw | 21.17 Bn | 18.07 Bn | 1.39 Bn | 489.50 Mn |
| 4 | Td Synnex | 18.55 Bn | 12.71 Bn | 1.43 Bn | 642.88 Mn |
| 5 | Cgi | 18.36 Bn | 16.16 Bn | - | 480.36 Mn |
| 6 | Arrow Electronics | 9.82 Bn | 8.84 Bn | 1.16 Bn | 430.26 Mn |
| 7 | EPAM Systems | 8.35 Bn | 4.26 Bn | 445.94 Mn | 175.93 Mn |
| 8 | Avnet | 7.00 Bn | 6.12 Bn | 1.07 Bn | 474.74 Mn |
| 9 | ExlService Holdings | 6.69 Bn | 5.49 Bn | 241.14 Mn | 88.86 Mn |
| 10 | Science Applications International | 6.41 Bn | 5.94 Bn | 239.00 Mn | 152.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 152.00 Mn |
| May 1, 2026 | 179.00 Mn |
| Jan 30, 2026 | 133.00 Mn |
| Oct 31, 2025 | 128.00 Mn |
| Aug 1, 2025 | 139.00 Mn |
| May 2, 2025 | 121.00 Mn |
| Jan 31, 2025 | 138.00 Mn |
| Nov 1, 2024 | 160.00 Mn |
| Aug 2, 2024 | 134.00 Mn |
| May 3, 2024 | 131.00 Mn |
| Feb 2, 2024 | 79.00 Mn |
| Nov 3, 2023 | 143.00 Mn |
| Aug 4, 2023 | 362.00 Mn |
| May 5, 2023 | 157.00 Mn |
| Feb 3, 2023 | 118.00 Mn |
| Oct 28, 2022 | 133.00 Mn |
| Jul 29, 2022 | 125.00 Mn |
| Apr 29, 2022 | 125.00 Mn |
| Jan 28, 2022 | 85.00 Mn |
| Oct 29, 2021 | 114.00 Mn |
API Access
Science Applications International EBIT API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=ebit&ticker=SAIC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "ticker": "SAIC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=ebit&ticker=SAIC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();